Optimal control of multiple myeloma assuming drug resistance and off-target effects

James G Lefevre1,2, Brodie A J Lawson2,3, Pamela M Burrage2,3

  • 1School of Mathematics and Physics, The University of Queensland, Brisbane, Queensland, Australia.

PubMed

Insights

Drug resistance in multiple myeloma (MM) can occur through loss of CD38 expression, a target for Daratumumab. Our model shows this resistance increases treatment duration and cost, revealing distinct optimal treatment strategies.

Area of Science:

  • Oncology
  • Mathematical Biology
  • Pharmacology

Background:

  • Multiple myeloma (MM) is a bone marrow cancer.
  • Daratumumab, a CD38-targeting antibody, is a key MM treatment.
  • CD38 downregulation is a proposed resistance mechanism to Daratumumab.

Purpose of the Study:

  • To model drug resistance in MM via CD38 loss.
  • To investigate the impact of resistance mechanisms on optimal treatment strategies.
  • To analyze off-target effects and immune response in treatment optimization.

Main Methods:

  • Developed an ordinary differential equation (ODE) model.
  • Incorporated direct and indirect CD38 loss mechanisms.
  • Applied optimal control theory to determine treatment regimes.

Main Results:

  • Drug resistance mechanisms generally increase optimal treatment duration and cost.
  • Off-target drug effects and immune response influence treatment strategies.
  • Identified several distinct optimal treatment regimes within the model's parameter space.

Conclusions:

  • CD38 downregulation significantly impacts Daratumumab treatment efficacy in MM.
  • Mathematical modeling is crucial for understanding complex resistance dynamics.
  • Optimized treatment strategies are necessary to overcome drug resistance and improve patient outcomes.

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